Stochastic programming approach for TEP optimization considering RES integration in electricity market

Catalina Alexandra Sima (1) , Cristian Lazaroiu (1) , Virgil Dumbrava (1) , Mariacristina Roscia (2) , Dario Zaninelli (3) , Philippe Duquenne (4)

1 University Politechnica Bucuresti
2 UniBg - Università degli Studi di Bergamo = University of Bergamo
3 POLIMI - Politecnico di Milano [Milan]
4 LGC - Laboratoire de Génie Chimique

Transmission expansion planning (TEP) is helping the system operator to decide the optimal solution for building new lines and in the same time to increase the reliability and safety of the existing power system. The proposed problem is a mixed-integer nonlinear programming problem (MINLP) and it is solved using stochastic programming. Stochastic programming is applied when uncertain environment occurs, in this case the uncertain environment refers to the production of renewable energy sources (RES) and its dependence on the short-term weather conditions. Stochastic Optimization weights all scenarios considered in this paper in order to obtain an expected total cost. The expected total cost includes the cost associated with the construction of new transmission lines, generation cost and load shedding cost.

Mots clés: Power transmission lines; Production; Investment; Mathematical model; Programming; Power system reliability; Reliability

Domaines: Energie électrique; Autre

Catalina Alexandra Sima, Cristian Lazaroiu, Virgil Dumbrava, Mariacristina Roscia, Dario Zaninelli, et al.. Stochastic programming approach for TEP optimization considering RES integration in electricity market. 2017 International Conference on ENERGY and ENVIRONMENT (CIEM), Oct 2017, Bucharest, Romania. pp. 485-489. ⟨hal-01783575⟩